Top AI Jobs in Singapore

Leads global semiconductor manufacturing excellence initiatives, including SEAL deployment, best-known-method standardization, Wafer Per Day improvements, equipment and process optimization, and productivity programs. Identifies and scales AI-enabled engineering solutions, automation, advanced analytics, and digital workflows across manufacturing sites. Partners with global stakeholders, drives pilot adoption, tracks business impact, supports standardization, and mentors teams on AI utilization.

Manage strategic B2B security-solution partners from onboarding through ongoing relationship management. Monitor adoption, satisfaction, performance, revenue, and service levels; lead governance and executive business reviews; identify risks and expansion opportunities; and execute joint growth plans. Collaborate across Product, Sales, Marketing, and Customer Success to improve partner outcomes, renewals, adoption, and revenue. Represent partner needs internally and use analytics and AI-driven insights to guide scalable recommendations.

Monitor and optimize inbound and outbound transportation, freight costs, carrier performance, shipment fulfillment, customs compliance, and logistics KPIs. Analyze supply chain data, identify bottlenecks and cost-saving opportunities, support carrier negotiations, maintain ERP and reporting systems, develop dashboards, and assist with risk mitigation, process automation, and network optimization.

Leads Micron’s HBM Product System Engineering and Media Health Manufacturing team. Responsibilities include manufacturing test-flow development and validation, test coverage optimization, yield improvement, circuit debugging, reliability qualification, cost and test-time reduction, root-cause resolution, DFT strategy, and cross-functional product development. The role also involves technical decision-making, innovation, project leadership, mentoring, and team development for next-generation HBM products.

Supports technology and cybersecurity audits across Asia Pacific by assessing risks and controls, conducting walkthroughs and testing, evaluating control effectiveness, drafting reports, validating remediation, and monitoring technology programs. The role requires strong audit judgment, data analytics, stakeholder management, regulatory awareness, and communication skills, with responsibility for producing high-quality workpapers and recommendations while staying current on emerging technologies and regional requirements.

Supports institutional clients investing in private-market infrastructure across Japan and APAC. Responsibilities include client servicing, investor reporting, content production, Japanese-language presentations and translations, regulatory reporting, fundraising support, issue resolution, and process improvement. The role partners with investment, product, operations, technology, and data teams to improve reporting efficiency through AI and automation while delivering tailored client experiences.

Develop an AI-enabled application, analytical model, or automated workflow addressing a semiconductor process or equipment engineering challenge. Analyze manufacturing and engineering data using statistics, machine learning, Generative AI, large language models, visualization, or automation. Test, validate, document, and present the solution, demonstrating potential improvements in yield, quality, cost, productivity, or cycle time.

Supports semiconductor HBM reliability, device/package/wafer testing, failure analysis, product debugging, laboratory operations, inventory and logistics, audits, safety compliance, automation, data analysis, and continuous improvement. Uses AI-assisted tools, Power BI, Python, SQL, and manufacturing systems to improve reliability workflows and debug efficiency. Requires rotating day/night shifts, including occasional weekends and public holidays, and collaborates with cross-functional teams while mentoring junior technicians.

Explore AI/ML-assisted and self-adaptive memory design techniques for optimizing performance, power efficiency, robustness, and yield. Analyze memory assist methods, operating conditions, failure signatures, and process variations. Develop adaptive monitoring, prediction, voltage, timing, and read/write control techniques, then document, benchmark, and present the proposed architecture and design insights.

Supports integration of advanced HBM products into customer systems through technical problem-solving across product development, system engineering, semiconductor processing, packaging, failure analysis, qualification, and testing. The role integrates customer requirements into internal design and manufacturing processes, participates in technical reviews and debugging, collaborates with engineering and manufacturing teams, and contributes to yield improvement and customer qualification programs. AI adoption and regular use are required.

Five-month procurement operations internship focused on AI-enabled analytics and process transformation. The intern will analyze procurement, inventory, and supply-chain data; develop dashboards, tracking tools, AI or automation prototypes; identify risks and improvement opportunities; review workflows; and present project outcomes. The role provides exposure to procurement systems, inventory analysis, supplier risk, data visualization, Agentic AI, robotic process automation, and cross-functional collaboration.

Intern will develop AI-enabled procurement analytics, dashboards, and automation solutions. Responsibilities include analyzing procurement workflows, inventory, supply-chain risks, and material indicators; improving processes; applying Agentic AI, visualization, and robotic process automation; and collaborating with global stakeholders. Deliverables include an analytics solution, automation prototype, workflow review, final report, and presentation.

Leads strategic partnerships across APAC, including building new alliances, scaling existing relationships, negotiating terms, and developing joint business plans. Owns the regional GSI route-to-market strategy, coordinates global and regional teams, leads partner reviews, tracks pipeline and performance, resolves escalations, and coaches partner managers on go-to-market planning, demand generation, sales acceleration, and capacity building.

Owns pre-silicon validation, simulation regression, post-silicon characterization, and simulation-to-silicon correlation for NAND test chip vehicles. Analyzes device and architecture sensitivities, defines test methodologies, leads root-cause investigations, and drives silicon learning across design, process, technology, and test teams. The role also develops reusable technical methods, influences cross-functional decisions, mentors engineers, and applies data analytics, machine learning, and AI-assisted tools.

Leads strategic programs enabling scalable engineering execution aligned with product roadmaps. Owns PSE’s AI strategy, drives AI-enabled tools and future-of-work initiatives, establishes KPIs, improves organizational structures and processes, and provides executive-ready insights. Partners with global engineering leaders to close capability gaps, strengthen cross-functional execution, and improve organizational effectiveness across complex, matrixed environments.

Manage supplier supply assurance, purchase orders, forecasts, capacity planning, lead times, safety stock, supply allocation, and shortage resolution across a global manufacturing network. Lead supplier reviews, negotiate capacity and lead times, monitor delivery metrics, manage product and process end-of-life planning, update supply systems, and drive process improvements using AI and operational best practices.

Analyzes logistics performance, transportation costs, inventory flows, service levels, and operational KPIs. Leads global logistics transformation projects, develops dashboards and reports, identifies cost-saving opportunities, and implements AI, automation, and digital workflow solutions. Manages logistics systems including SAP and transportation platforms, gathers requirements, coordinates testing and deployments, maintains documentation, supports training, and drives process standardization, governance, continuous improvement, and logistics network optimization.

Intern will develop an AI-enabled inline health-monitoring and process-drift detection solution for semiconductor Process Integration. Responsibilities include extracting and validating process metrics, creating dashboards and visualizations, analyzing large datasets, exploring AI tools for process-window optimization, and prototyping AI agents for engineering workflow automation. The intern will collaborate with engineers, document findings, and deliver a reusable monitoring solution and handover package.

Five-month internship developing AI and machine learning solutions for semiconductor facilities engineering. Responsibilities include analyzing operational and sensor data, building predictive maintenance and anomaly-detection prototypes, creating dashboards and automation workflows, and developing AI-enabled knowledge-management tools. The intern will collaborate with facilities engineers, apply software-engineering principles, document findings, and present recommendations and business value.

Develop an AI-powered sustainability command center using energy, water, utility, cost, and carbon data. Responsibilities include assessing data sources, building structured data models and processing workflows, creating Power BI dashboards, applying analytics and AI for anomaly detection and insight generation, automating reporting, tracking sustainability opportunities, and preparing technical documentation and user guidance.

Develop an end-to-end analytics and machine learning solution for semiconductor manufacturing data. Analyze electrical, physical, inline, and probe measurements; perform data querying, preprocessing, feature engineering, modeling, optimization, and visualization; and create predictive models and drift-detection methods to improve production-line monitoring and engineering decisions. The intern will document and present findings while collaborating with manufacturing engineering teams.

Conduct silicon design validation for advanced NAND products through Verilog simulations, validation planning, laboratory measurements, and data analysis. The intern will use testers, oscilloscopes, probe stations, scripting, and engineering software to analyze validation data, generate technical reports, and prototype AI-enabled workflows for automated data collection, reporting, or anomaly detection.

Intern will analyze semiconductor manufacturing and quality data to detect cell metric drift and potential quality excursions. Responsibilities include statistical analysis, detection modeling, correlation analysis, dashboard and visualization development, AI-enabled data exploration, and technical documentation. The intern will collaborate with engineering teams and deliver a monitoring methodology, analytical report, recommendations, and final presentation.

Full-time internship focused on applying Python, statistical analysis, visualization, and introductory machine learning to semiconductor probe-test, electrical failure, and fabrication-process data. The intern will investigate yield behavior in advanced memory manufacturing, develop a multivariate analytics tool, identify potential yield-improvement opportunities, and present documented findings through a technical report and presentation.

Develop an AI-enabled proof of concept for New Product Manufacturing, using Generative AI, analytics, dashboards, automation, Python, SQL, and Microsoft tools. The intern will assess manufacturing processes, define data and business requirements, automate reporting or workflows, create operational visualizations, measure productivity benefits, and document recommendations. The role involves collaboration with engineering, manufacturing, data, automation, and business stakeholders.